o1-pro vs Grok 4.7

OpenAI

74#140

xAI

89#43

Signal-by-Signal Comparison

Signal	o1-pro	Delta	Grok 4.7
Capabilities	83	-17	100
Benchmarks	77	-10	86
Pricing	5	-90	95
Context window size	84	-6	90
Recency	32	-68	100
Output Capacity	80	-10	90
Overall Result	0 wins	of 6	6 wins

Grok 4.7 wins 6 of 6 signals

Score History

Score History (32 data points)

o1-proGrok 4.7

o1-pro

73.6

current score

Leader

Grok 4.7

right now

Grok 4.7

88.8

current score

LMMarketCap.com

Interactive Price Comparison

Quick presets

Monthly API calls

100Kcalls/month

Avg. input tokens/call

1,000tokens (~1,333 chars)

Avg. output tokens/call

500tokens (~667 chars)

o1-pro

OpenAI

Per request$0.450000

Daily$1500.00

Monthly$45000.00

Annual$540000.00

Grok 4.7

xAI

Best Value

Per request$0.004000

Daily$13.33

Monthly$400.00

Annual$4800.00

Grok 4.7 saves you $44600.00/month

That's $535200.00/year compared to o1-pro at your current usage level of 100K calls/month.

99% cheaper

Choose Grok 4.7 for cost optimization

o1-pro pricing:

Input:$150.00/M tokens

Output:$600.00/M tokens

Grok 4.7 pricing:

Input:$1.60/M tokens

Output:$4.80/M tokens

o1-pro

OpenAI

Composite Score

Winner

Grok 4.7

xAI

Composite Score

Signal-by-Signal Comparison

Metric	o1-pro	Grok 4.7	Winner
Overall Score	74	89	Grok 4.7
Rank	#140	#43	Grok 4.7
Quality Rank	#140	#43	Grok 4.7
Adoption Rank	#140	#43	Grok 4.7
Parameters	--	--	--
Context Window	200K	500K	Grok 4.7
Pricing	$150.00/$600.00/M	$1.60/$4.80/M	--
Signal Scores
Capabilities	83	100	Grok 4.7
Benchmarks	77	86	Grok 4.7
Pricing	5	95	Grok 4.7
Context window size	84	90	Grok 4.7
Recency	32	100	Grok 4.7
Output Capacity	80	90	Grok 4.7

Benchmark Head-to-Head(13 benchmarks)

o1-pro: 2Grok 4.7: 8

o1-pro

Grok 4.7

Normalized 0-100%

MMLU

91.8%91.5%

MMLU-Pro

80.3%83.5%

GPQA Diamond

78%82%

MATH-500

96.4%95%

HumanEval

92.4%95.5%

SWE-bench Verified

48.9%70%

AIME 2024

83.3%88%

IFEval

86.5%91%

BBH

89%90%

Arena Elo

13501462

LiveBench

-73%

HLE

8.12%-

BigCodeBench

32.4%-

Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

o1-proStrong Performer

Scores 74/100 (rank #140), placing it in the top 52% of all 290 models tracked.

Raw Quality0/100

Cost Efficiency0/100

Speed0/100

Grok 4.7Elite Tier

Scores 89/100 (rank #43), placing it in the top 86% of all 290 models tracked.

Raw Quality0/100

Cost Efficiency0/100

Speed0/100

Grok 4.7 has a 15-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose o1-pro when you need:

Step-by-step reasoning and chain-of-thought problem solving

Choose Grok 4.7 when you need:

High-volume production workloads where API costs must be minimized
Processing long documents or large codebases (500K token context)
Agentic applications using tool/function calling
Step-by-step reasoning and chain-of-thought problem solving

Cost-Performance Analysis

o1-pro

Input cost$150.00/M tokens

Output cost$600.00/M tokens

Cost per quality point$10.190

Est. monthly (1M tokens/day)$11250.00

Grok 4.7Best Value

Input cost$1.60/M tokens

Output cost$4.80/M tokens

Cost per quality point$0.072

Est. monthly (1M tokens/day)$96.00

Grok 4.7 offers 99% better value per quality point. At 1M tokens/day, you'd spend $96.00/month with Grok 4.7 vs $11250.00/month with o1-pro - a $11154.00 monthly difference.

Latency & Speed

o1-proFaster

Speed score0/100

Grok 4.7

Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

o1-pro

Customer support chatbot

Suitable for user-facing chat with competitive response times. Grok 4.7 also offers lower per-token costs for high-volume support

o1-pro

Long document analysis

Larger context window (500K tokens) can process longer documents, contracts, and research papers in a single pass

Grok 4.7

Batch data extraction

Lower output pricing ($4.80/M) reduces costs when processing thousands of records daily

Grok 4.7

Creative writing & content

Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content

Grok 4.7

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

o1-pro

Which Should You Choose?

Our recommendation:

Grok 4.7

Grok 4.7 clearly outperforms o1-pro with a significant 15.200000000000003-point lead. For most general use cases, Grok 4.7 is the stronger choice. However, o1-pro may still excel in niche scenarios.

By Use Case

Best for Quality

o1-pro

Marginally better benchmark scores; both are excellent

Best for Cost

Grok 4.7

99% lower pricing; better value at scale

Best for Reliability

o1-pro

Higher uptime and faster response speeds

Best for Prototyping

o1-pro

Stronger community support and better developer experience

Best for Production

o1-pro

Wider enterprise adoption and proven at scale

o1-pro

by OpenAI

Choose for Quality - Marginally better benchmark scores; both are excellent
Choose for Reliability - Higher uptime and faster response speeds
Choose for Prototyping - Stronger community support and better developer experience
Choose for Production - Wider enterprise adoption and proven at scale